MERCIL’s Data Modernization Framework
MERCIL’s Data Modernization framework transforms raw, inconsistent data into reliable, AI-ready assets through a five-step process: assessment, preparation, migration, controlling, and value delivery. Supported by an AI Data Engine, the system automates tasks such as data cleansing, validation, and integration—ensuring high-quality, standardized data that’s ready for analytics, reporting, and business use. This approach enables organizations to improve data reliability, streamline operations, and extract greater value from their information assets.
Using AI-Driven Infrastructure to Improve Sales and Customer Engagement: A MERCIL Solution
To help businesses unlock the full value of their data, MERCIL designed a comprehensive AI-driven data utilization infrastructure. The process begins with collecting data from various sources—including internal systems and customer feedback—and consolidating it into a centralized Data Modernization Lake. This serves as the foundation for preparing and organizing data for AI training.
From there, MERCIL develops multiple Assistance Models, including internal support tools, analytical reporting, and media understanding. These models are tailored to meet diverse business needs across departments.The trained models are then deployed in three key environments:
From there, MERCIL develops multiple Assistance Models, including internal support tools, analytical reporting, and media understanding. These models are tailored to meet diverse business needs across departments.
The trained models are then deployed in three key environments:
- AI Chatbots for customer onboarding, policy support, and personalized learning
- Internal Systems to enhance sales operations through lead scoring, qualification, follow-up automation, and performance tracking
- Customer Analysis Tools to provide real-time insights via sentiment classification and behavior tracking
To complete the cycle, MERCIL incorporates a feedback loop, where data from user interactions—such as satisfaction and engagement—is sent back to the system. This ongoing feedback enables continuous improvement and smarter decision-making.Through this end-to-end solution, MERCIL empowers businesses to scale their operations, increase engagement, and drive smarter customer experiences—all powered by AI.
Case Studies
One powerful real-world use case is sentiment analysis. In the past, businesses had to rely on people to manually read customer reviews and classify them as positive, neutral, or negative. This manual approach was slow and inconsistent, especially as the volume of data grew. Even with traditional machine learning models, teams needed to spend significant time and effort collecting training data, labeling samples, and tweaking algorithms—just to get acceptable results.Now, with n8n AI Agent and advanced LLMs , MERCIL can build automated workflows that instantly analyze customer reviews and extract valuable insights—without the headache of manual sorting or model training. Here’s how it works: When a customer submits a review, the workflow automatically receives both the name and the review text.The n8n AI Agent then leverages AI natural language understanding to analyze the sentiment of the review, categorizing it as “Positive,” “Neutral,” or “Negative.” This result is instantly saved to your database, making it easy to track trends, identify areas for improvement, and respond to customer feedback in real time. The whole process is seamless and requires zero manual intervention.With this approach, you can scale up your customer feedback analysis without increasing headcount or technical complexity. Imagine the time and resources saved—not to mention the immediate insights you gain into your customers’ true feelings.Ready to transform how you understand your customers? Contact MERCIL today to see how our tailor-made solutions can turn your customer reviews into actionable insights—and help your business move faster, smarter, and further.
